Poland Data Center Market Size and Share

Poland Data Center Market (2025 - 2030)
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Poland Data Center Market Analysis by Mordor Intelligence

The Poland data center market size stands at USD 1.89 billion in 2025 and is projected to reach USD 3.78 billion by 2030, translating into a 14.87% CAGR. Strong hyperscale cloud investments, rapid enterprise digitalization, and a growing renewable-energy pipeline anchor the expansion of the Poland data center market. In parallel, the nation’s installed IT load capacity is forecast to rise from 660 MW in 2025 to 930 MW in 2030, a 7.34% CAGR that signals a pivot toward AI-optimized, high-density deployments rather than pure footprint growth. The market segment shares and estimates are calculated and reported in terms of MW. Scale economics favour massive campuses that attract global operators, while government incentives and cross-border fiber links amplify Poland’s positioning as Central and Eastern Europe’s preferred interconnection hub. Competitive dynamics are shifting as hyperscalers begin to outpace local providers, and regional diversification beyond Warsaw accelerates to mitigate grid constraints.[1]Chancellery of the Prime Minister, “Microsoft Invests PLN 3 Billion in a New Data Center in Poland,” GOV.PL, gov.pl

Key Report Takeaways

  • By data center size, massive facilities held 62.59% of Poland's data center market share in 2024, while medium installations are projected to grow at a 7.90% CAGR through 2030.  
  • By tier type, Tier 4 captured an 82.53% revenue share in 2024 and is expected to advance at an 8.10% CAGR through 2030.  
  • By data center type, hyperscale and self-built sites accounted for 76.77% of the Poland data center market size in 2024, while edge-focused facilities posted the fastest growth rate of 7.76% CAGR.  
  • By end user, IT and telecom accounted for 45.74% demand in 2024; BFSI is projected to expand at an 8.00% CAGR to 2030.  
  • By hotspot, Warsaw controlled 69.86% of the value in 2024; however, the Rest of Poland segment is growing at an 8.50% CAGR over the forecast horizon. 

Segment Analysis

By Data Center Size: Dominance of Massive Facilities with Rising Edge Demand

Massive sites represented 62.59% of the Poland data center market share in 2024, buoyed by hyperscale strategies that favour multi-building campuses exceeding 19,000 square meters. Atman’s WAW 3 campus illustrates this scale advantage. Despite their heft, mega sites designed for AI model training are emerging as the next frontier. Medium size data center segment accounted for the fastest CAGR of 7.90% over the forecast period 2025 to 2030.

Higher rack densities and the adoption of liquid cooling push power requirements upward, but they also unlock compute efficiencies per square meter. Operators blend centralized and edge footprints to optimize the total cost of ownership and latency. In this design, massive campuses act as regional cores, while edge pods process time-critical data at network extremities, creating a hybrid topology that reshapes investment flows in the Polish data center market.  

Poland Data Center Market: Market Share by Data Center Size
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By Tier Type: Enterprise Reliance on Fault-Tolerant Infrastructure

Tier 4 facilities captured 82.53% of revenue in 2024 and registered the fastest 8.10% CAGR, underscoring stringent uptime mandates. BFSI, healthcare, and public-sector workloads require 99.995% availability, propelling demand for concurrently maintainable designs. Beyond.PL’s ANSI/TIA-942 Rated 4 site in Poznań pairs fault tolerance with a 1.2 PUE.  

Tier 3 remains relevant for cost-sensitive enterprises, while Tier 1-2 facilities primarily serve staging environments. Ongoing EU regulations such as NIS2 tighten cyber-resilience standards, indirectly uplifting Tier 4 deployment rates. Consequently, the Poland data center market size weighted toward Tier 4 should rise steadily through 2030.  

By Data Center Type: Hyperscale Outlays Shift Market Structure

Hyperscale and self-built infrastructure owned 76.77% of the value in 2024. Microsoft, Google, and Amazon now dictate design norms, favouring AI-ready power densities above 30 kW per rack. Wholesale and retail colocation still cater to enterprises needing physical control without capex burdens, and these offerings act as on-ramps to public clouds.  

Edge-focused facilities post the briskest 7.76% CAGR, exploiting proximity to end users for latency-sensitive applications. Operators increasingly repurpose telco switching centers or build modular sites near 5G towers, enriching geographic diversity across the Poland data center market.  

By End User: Financial Services Accelerate Infrastructure Spend

IT and telecom customers provided 45.74% of 2024 demand, mirroring aggressive network upgrades and software-defined architectures. The BFSI segment, however, exhibits the top 8.00% CAGR as digital banking, AI-driven risk models, and DORA compliance mandate local, fault-tolerant computing. These factors expand the Poland data center market size catered to fintech and incumbent banks alike.  

Elsewhere, e-commerce logistics, Industry 4.0 manufacturing, and media streaming use cases push demand for mixed-density colocation suites. Government digitalization programs also persist, anchored by sovereign-cloud requirements that favor domestic hosting.

Poland Data Center Market: Market Share by End-User
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By Hotspot: Warsaw Dominance and Rapid Regional Diversification

Warsaw accounted for 69.86% of Poland data center market share in 2024, reflecting its concentration of international connectivity, enterprise headquarters, and skilled labor. Power-grid constraints in the capital, however, cap near-term expansion capacity, prompting operators to pre-book substations and explore adjacent suburbs for additional megawatt allocations. Rest of Poland is expanding at an 8.50% CAGR through 2030, signalling a decisive shift toward secondary metros that pair lower land costs with government tax relief under the Polish Investment Zone scheme. As a result, the Poland data center market size tied to regional hubs is expected to rise steadily, supported by robust fiber corridors that shorten round-trip latency to major European IXPs.

Regional hotspots such as Poznań, Wrocław, Kraków, and Gdańsk benefit from university talent pools, airport cargo links, and renewable-energy buildouts that bolster sustainability credentials. Beyond.pl’s 100 MW campus in Poznań demonstrates the technical maturity of these locales, achieving a PUE of 1.2 while running on 100% renewables. The Pomeranian Special Economic Zone in Gdańsk secured PLN 2.8 billion in 2024 investment pledges aimed at green energy and digital infrastructure, reinforcing momentum outside the capital. Collectively, these developments diversify the geographic footprint of the Poland data center market, mitigate single-city grid bottlenecks, and position secondary hubs to capture edge-computing and AI workloads that demand proximity to end users.

Geography Analysis

Warsaw commanded 69.86% of 2024 spending, leveraging dense fiber routes, proximity to the Warsaw-Chopin international gateway, and the largest IT talent pool. Microsoft’s Mazovia campus underscores the capital’s hyperscale magnetism. Yet grid bottlenecks spur operators to scout alternative plots around the ring road or to pursue dedicated substations, nudging some deployments outward.  

Secondary metros enjoy an 8.50% CAGR as incentives and lower real-estate costs lure new builds. Poznań, Wrocław, and Kraków each host university clusters that supply engineers, while Gdańsk leverages Baltic cable landings for overseas latency gains. The Pomeranian Special Economic Zone attracted PLN 2.8 billion in 2024 commitments, reflecting regional policy success.  

Coastal wind-farm pipelines and inland solar projects improve green-energy access beyond Warsaw. As EU-funded rail and road corridors shorten freight times, edge nodes in logistics hubs emerge, reinforcing a multi-polar topology across the Poland data center market.  

Competitive Landscape

Top Companies in Poland Data Center Market

The Poland data center market exhibits moderate concentration. Three hyperscalers, Microsoft, Google, and Amazon, drive the majority of incremental megawatts through self-owned estates tailored for cloud and AI services. Their capital intensity raises the entry bar and accelerates technology cycles.  

Specialized colocation providers such as Atman, Beyond. Pl, and Vantage Data Centers compete on connectivity density, certifications, and hybrid-cloud enablement. Atman’s USD 344 million debt package finances an expansion to more than 50,000 servers, while Beyond. Pl opened a sovereign AI factory that couples fault tolerance with 100% renewables. International newcomers, including Switch Datacenters, widen the field, signalling confidence in long-term demand.  

Edge-centric opportunities draw regional telcos and energy firms that possess suburban real estate or rights-of-way. Differentiation pivots to liquid-cooling know-how, automation, and renewable integration. Compliance with EU security directives further advantages incumbents with mature governance frameworks, deepening competitive moats.[4]Jander, Mary, “Equinix Aims to Raise USD 15 Billion for AI Data Centers,” FUTURIOM.COM, futuriom.com

Poland Data Center Industry Leaders

  1. Comarch SA

  2. Deutsche Telekom AG (T-Mobile Poska SA)

  3. Equinix Inc.

  4. S-NET Sp. z.o.o (TOYA Group)

  5. Vantage Data Centers LLC

  6. *Disclaimer: Major Players sorted in no particular order
Poland Data Center Market
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Recent Industry Developments

  • May 2025: Beyond.pl launched its Sovereign AI Factory at a 100 MW campus in Poznań, aiming at data-residency-sensitive workloads.
  • February 2025: Microsoft confirmed a USD 705 million allocation to expand AI and cloud infrastructure in Poland.
  • January 2025: Data4 Group began building a 180 MW mega campus in Germany while retaining Warsaw as a strategic node linking Western and Eastern Europe.
  • October 2024: Atman closed PLN 1.35 billion (USD 344 million) in syndicated financing to scale its WAW 3 campus.

Table of Contents for Poland Data Center Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Surge in hyperscale and self-build investments by global cloud service providers
    • 4.2.2 Poland's rapidly-growing renewable energy pipeline enabling green data center operations
    • 4.2.3 Implementation of 5G and EDGE-computing use-cases by telecom operators
    • 4.2.4 Government cash-grant incentives under the Polish Investment Zone (PIZ) scheme
    • 4.2.5 EU-funded cross-border fibre projects boosting international connectivity
    • 4.2.6 Under-penetrated regional hubs (e.g., Krakw, Wroclaw) unlocking secondary-city demand
  • 4.3 Market Restraints
    • 4.3.1 Scarcity of power grid capacity in Warsaw metropolitan area
    • 4.3.2 Lengthy environmental permitting for large-scale facilities
    • 4.3.3 Fluctuating electricity prices tied to EU-ETS carbon costs
    • 4.3.4 Limited availability of highly-skilled data-center-specific workforce
  • 4.4 Market Outlook
    • 4.4.1 IT Load Capacity
    • 4.4.2 Raised Floor Space
    • 4.4.3 Colocation Revenue
    • 4.4.4 Installed Racks
    • 4.4.5 Rack Space Utilization
    • 4.4.6 Submarine Cable
  • 4.5 Key Industry Trends
    • 4.5.1 Smartphone Users
    • 4.5.2 Data Traffic Per Smartphone
    • 4.5.3 Mobile Data Speed
    • 4.5.4 Broadband Data Speed
    • 4.5.5 Fiber Connectivity Network
    • 4.5.6 Regulatory Framework
  • 4.6 Value Chain and Distribution Channel Analysis
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (MEGAWATT)

  • 5.1 By Data Center Size
    • 5.1.1 Large
    • 5.1.2 Massive
    • 5.1.3 Medium
    • 5.1.4 Mega
    • 5.1.5 Small
  • 5.2 By Tier Type
    • 5.2.1 Tier 1 and 2
    • 5.2.2 Tier 3
    • 5.2.3 Tier 4
  • 5.3 By Data Center Type
    • 5.3.1 Hyperscale/Self-built
    • 5.3.2 Enterprise/Edge
    • 5.3.3 Colocation
    • 5.3.3.1 Non-Utilized
    • 5.3.3.2 Utilized
    • 5.3.3.2.1 Retail Colocation
    • 5.3.3.2.2 Wholesale Colocation
  • 5.4 By End User
    • 5.4.1 BFSI
    • 5.4.2 IT and ITES
    • 5.4.3 E-Commerce
    • 5.4.4 Government
    • 5.4.5 Manufacturing
    • 5.4.6 Media and Entertainment
    • 5.4.7 Telecom
    • 5.4.8 Other End Users
  • 5.5 By Hotspot
    • 5.5.1 Warsaw
    • 5.5.2 Rest of Poland

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Vantage Data Centers Management Company LLC
    • 6.4.2 Atman sp. z o.o.
    • 6.4.3 Beyond.pl sp. z o.o.
    • 6.4.4 Equinix Inc.
    • 6.4.5 Amazon Web Services Inc.
    • 6.4.6 Google LLC
    • 6.4.7 International Business Machines Corporation
    • 6.4.8 Microsoft Corporation
    • 6.4.9 Polcom S.A.
    • 6.4.10 3S S.A. (Iliad Group - Play)
    • 6.4.11 DATA4 Group
    • 6.4.12 SAP SE
    • 6.4.13 Aruba S.p.A.
    • 6.4.14 FORPSI s.r.o.
    • 6.4.15 Cloudflare Inc.
    • 6.4.16 OVHcloud SAS
    • 6.4.17 Orange Polska S.A.
    • 6.4.18 T-Mobile Polska S.A.
    • 6.4.19 Netia S.A.
    • 6.4.20 Cyxtera Technologies Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-Space and Unmet-Need Assessment
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Poland Data Center Market Report Scope

Warsaw are covered as segments by Hotspot. Large, Massive, Medium, Mega, Small are covered as segments by Data Center Size. Tier 1 and 2, Tier 3, Tier 4 are covered as segments by Tier Type. Non-Utilized, Utilized are covered as segments by Absorption.
By Data Center Size
Large
Massive
Medium
Mega
Small
By Tier Type
Tier 1 and 2
Tier 3
Tier 4
By Data Center Type
Hyperscale/Self-built
Enterprise/Edge
Colocation Non-Utilized
Utilized Retail Colocation
Wholesale Colocation
By End User
BFSI
IT and ITES
E-Commerce
Government
Manufacturing
Media and Entertainment
Telecom
Other End Users
By Hotspot
Warsaw
Rest of Poland
By Data Center Size Large
Massive
Medium
Mega
Small
By Tier Type Tier 1 and 2
Tier 3
Tier 4
By Data Center Type Hyperscale/Self-built
Enterprise/Edge
Colocation Non-Utilized
Utilized Retail Colocation
Wholesale Colocation
By End User BFSI
IT and ITES
E-Commerce
Government
Manufacturing
Media and Entertainment
Telecom
Other End Users
By Hotspot Warsaw
Rest of Poland
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Market Definition

  • IT LOAD CAPACITY - The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipments placed in a rack installed. It is measured in megawatt (MW).
  • ABSORPTION RATE - It denotes the extend to which the data center capacity has been leased out. For instance, a 100 MW DC has leased out 75 MW, then absorption rate would be 75%. It is also referred as utilization rate and leased-out capacity.
  • RAISED FLOOR SPACE - It is an elevated space build over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assist in having proper wiring and cooling infrastructure. It is measured in square feet (ft^2).
  • DATA CENTER SIZE - Data Center Size is segmented based on the raised floor space allocated to the data center facilities. Mega DC - # of Racks must be more than 9000 or RFS (raised floor space) must be more than 225001 Sq. ft; Massive DC - # of Racks must be in between 9000 and 3001 or RFS must be in between 225000 Sq. ft and 75001 Sq. ft; Large DC - # of Racks must be in between 3000 and 801 or RFS must be in between 75000 Sq. ft and 20001 Sq. ft; Medium DC # of Racks must be in between 800 and 201 or RFS must be in between 20000 Sq. ft and 5001 Sq. ft; Small DC - # of Racks must be less than 200 or RFS must be less than 5000 Sq. ft.
  • TIER TYPE - According to Uptime Institute the data centers are classified into four tiers based on the proficiencies of redundant equipment of the data center infrastructure. In this segment the data center are segmented as Tier 1,Tier 2, Tier 3 and Tier 4.
  • COLOCATION TYPE - The segment is segregated into 3 categories namely Retail, Wholesale and Hyperscale Colocation service. The categorization is done based on the amount of IT load leased out to potential customers. Retail colocation service has leased capacity less than 250 kW; Wholesale colocation services has leased capacity between 251 kW and 4 MW and Hyperscale colocation services has leased capacity more than 4 MW.
  • END CONSUMERS - The Data Center Market operates on a B2B basis. BFSI, Government, Cloud Operators, Media and Entertainment, E-Commerce, Telecom and Manufacturing are the major end-consumers in the market studied. The scope only includes colocation service operators catering to the increasing digitalization of the end-user industries.
Keyword Definition
Rack Unit Generally referred as U or RU, it is the unit of measurement for the server unit housed in the racks in the data center. 1U is equal to 1.75 inches.
Rack Density It defines the amount of power consumed by the equipment and server housed in a rack. It is measured in kilowatt (kW). This factor plays a critical role in data center design and, cooling and power planning.
IT Load Capacity The IT load capacity or installed capacity, refers to the amount of energy consumed by servers and network equipment placed in a rack installed. It is measured in megawatt (MW).
Absorption Rate It denotes how much of the data center capacity has been leased out. For instance, if a 100 MW DC has leased out 75 MW, then the absorption rate would be 75%. It is also referred to as utilization rate and leased-out capacity.
Raised Floor Space It is an elevated space built over the floor. This gap between the original floor and the elevated floor is used to accommodate wiring, cooling, and other data center equipment. This arrangement assists in having proper wiring and cooling infrastructure. It is measured in square feet/meter.
Computer Room Air Conditioner (CRAC) It is a device used to monitor and maintain the temperature, air circulation, and humidity inside the server room in the data center.
Aisle It is the open space between the rows of racks. This open space is critical for maintaining the optimal temperature (20-25 °C) in the server room. There are primarily two aisles inside the server room, a hot aisle and a cold aisle.
Cold Aisle It is the aisle wherein the front of the rack faces the aisle. Here, chilled air is directed into the aisle so that it can enter the front of the racks and maintain the temperature.
Hot Aisle It is the aisle where the back of the racks faces the aisle. Here, the heat dissipated from the equipment’s in the rack is directed to the outlet vent of the CRAC.
Critical Load It includes the servers and other computer equipment whose uptime is critical for data center operation.
Power Usage Effectiveness (PUE) It is a metric which defines the efficiency of a data center. It is calculated by: (𝑇𝑜𝑡𝑎𝑙 𝐷𝑎𝑡𝑎 𝐶𝑒𝑛𝑡𝑒𝑟 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛)/(𝑇𝑜𝑡𝑎𝑙 𝐼𝑇 𝐸𝑞𝑢𝑖𝑝𝑚𝑒𝑛𝑡 𝐸𝑛𝑒𝑟𝑔𝑦 𝐶𝑜𝑛𝑠𝑢𝑚𝑝𝑡𝑖𝑜𝑛). Further, a data center with a PUE of 1.2-1.5 is considered highly efficient, whereas, a data center with a PUE >2 is considered highly inefficient.
Redundancy It is defined as a system design wherein additional component (UPS, generators, CRAC) is added so that in case of power outage, equipment failure, the IT equipment should not be affected.
Uninterruptible Power Supply (UPS) It is a device that is connected in series with the utility power supply, storing energy in batteries such that the supply from UPS is continuous to IT equipment even during utility power is snapped. The UPS primarily supports the IT equipment only.
Generators Just like UPS, generators are placed in the data center to ensure an uninterrupted power supply, avoiding downtime. Data center facilities have diesel generators and commonly, 48-hour diesel is stored in the facility to prevent disruption.
N It denotes the tools and equipment required for a data center to function at full load. Only "N" indicates that there is no backup to the equipment in the event of any failure.
N+1 Referred to as 'Need plus one', it denotes the additional equipment setup available to avoid downtime in case of failure. A data center is considered N+1 when there is one additional unit for every 4 components. For instance, if a data center has 4 UPS systems, then for to achieve N+1, an additional UPS system would be required.
2N It refers to fully redundant design wherein two independent power distribution system is deployed. Therefore, in the event of a complete failure of one distribution system, the other system will still supply power to the data center.
In-Row Cooling It is the cooling design system installed between racks in a row where it draws warm air from the hot aisle and supplies cool air to the cold aisle, thereby maintaining the temperature.
Tier 1 Tier classification determines the preparedness of a data center facility to sustain data center operation. A data center is classified as Tier 1 data center when it has a non-redundant (N) power component (UPS, generators), cooling components, and power distribution system (from utility power grids). The Tier 1 data center has an uptime of 99.67% and an annual downtime of <28.8 hours.
Tier 2 A data center is classified as Tier 2 data center when it has a redundant power and cooling components (N+1) and a single non-redundant distribution system. Redundant components include extra generators, UPS, chillers, heat rejection equipment, and fuel tanks. The Tier 2 data center has an uptime of 99.74% and an annual downtime of <22 hours.
Tier 3 A data center having redundant power and cooling components and multiple power distribution systems is referred to as a Tier 3 data center. The facility is resistant to planned (facility maintenance) and unplanned (power outage, cooling failure) disruption. The Tier 3 data center has an uptime of 99.98% and an annual downtime of <1.6 hours.
Tier 4 It is the most tolerant type of data center. A Tier 4 data center has multiple, independent redundant power and cooling components and multiple power distribution paths. All IT equipment are dual powered, making them fault tolerant in case of any disruption, thereby ensuring interrupted operation. The Tier 4 data center has an uptime of 99.74% and an annual downtime of <26.3 minutes.
Small Data Center Data center that has floor space area of ≤ 5,000 Sq. ft or the number of racks that can be installed is ≤ 200 is classified as a small data center.
Medium Data Center Data center which has floor space area between 5,001-20,000 Sq. ft, or the number of racks that can be installed is between 201-800, is classified as a medium data center.
Large Data Center Data center which has floor space area between 20,001-75,000 Sq. ft, or the number of racks that can be installed is between 801-3,000, is classified as a large data center.
Massive Data Center Data center which has floor space area between 75,001-225,000 Sq. ft, or the number of racks that can be installed is between 3001-9,000, is classified as a massive data center.
Mega Data Center Data center that has a floor space area of ≥ 225,001 Sq. ft or the number of racks that can be installed is ≥ 9001 is classified as a mega data center.
Retail Colocation It refers to those customers who have a capacity requirement of 250 kW or less. These services are majorly opted by small and medium enterprises (SMEs).
Wholesale Colocation It refers to those customers who have a capacity requirement between 250 kW to 4 MW. These services are majorly opted by medium to large enterprises.
Hyperscale Colocation It refers to those customers who have a capacity requirement greater than 4 MW. The hyperscale demand primarily originates from large-scale cloud players, IT companies, BFSI, and OTT players (like Netflix, Hulu, and HBO+).
Mobile Data Speed It is the mobile internet speed a user experiences via their smartphones. This speed is primarily dependent on the carrier technology being used in the smartphone. The carrier technologies available in the market are 2G, 3G, 4G, and 5G, where 2G provides the slowest speed while 5G is the fastest.
Fiber Connectivity Network It is a network of optical fiber cables deployed across the country, connecting rural and urban regions with high-speed internet connection. It is measured in kilometer (km).
Data Traffic per Smartphone It is a measure of average data consumption by a smartphone user in a month. It is measured in gigabyte (GB).
Broadband Data Speed It is the internet speed that is supplied over the fixed cable connection. Commonly, copper cable and optic fiber cable are used in both residential and commercial use. Here, optic cable fiber provides faster internet speed than copper cable.
Submarine Cable A submarine cable is a fiber optic cable laid down at two or more landing points. Through this cable, communication and internet connectivity between countries across the globe is established. These cables can transmit 100-200 terabits per second (Tbps) from one point to another.
Carbon Footprint It is the measure of carbon dioxide generated during the regular operation of a data center. Since, coal, and oil & gas are the primary source of power generation, consumption of this power contributes to carbon emissions. Data center operators are incorporating renewable energy sources to curb the carbon footprint emerging in their facilities.
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Research Methodology

Mordor Intelligence follows a four-step methodology in all our reports.

  • Step-1: Identify Key Variables: In order to build a robust forecasting methodology, the variables and factors identified in Step-1 are tested against available historical market numbers. Through an iterative process, the variables required for market forecast are set and the model is built on the basis of these variables.
  • Step-2: Build a Market Model: Market-size estimations for the forecast years are in nominal terms. Inflation is not a part of the pricing, and the average selling price (ASP) is kept constant throughout the forecast period for each country.
  • Step-3: Validate and Finalize: In this important step, all market numbers, variables and analyst calls are validated through an extensive network of primary research experts from the market studied. The respondents are selected across levels and functions to generate a holistic picture of the market studied.
  • Step-4: Research Outputs: Syndicated Reports, Custom Consulting Assignments, Databases & Subscription Platforms
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